Agent skill · Databases

cc-skill-clickhouse-io

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill cc-skill-clickhouse-io --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/cc-skill-clickhouse-io/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ClickHouse Analytics Patterns ClickHouse-specific patterns for high-performance analytics and data engineering. ## Overview ClickHouse is a column-oriented database management system (DBMS) for online analytical processing (OLAP). It's optimized for fast analytical queries on large datasets. **Key Features:** - Column-oriented storage - Data compression - Parallel query execution - Distributed queries - Real-time analytics ## Table Design Patterns ### MergeTree Engine (Most Common) ```sql CREATE TABLE markets_analytics ( date Date, market_id String, market_name String, volume UInt64, trades UInt32, unique_traders UInt32, avg_trade_size Float64, created_at DateTime ) ENGINE = MergeTree() PARTITION BY toYYYYMM(date) ORDER BY (date, market_id) SETTINGS index_granularity = 8192; ``` ### ReplacingMergeTree (Deduplication) ```sql -- For data that may have duplicates (e.g., from multiple sources) CREATE TABLE user_events ( event_id String, user_id String, event_type String, timestamp DateTime, properties String ) ENGINE = ReplacingMergeTree() PARTITION BY toYYYYMM(timestamp) ORDER BY (user_id, event_id, timestamp) PRIMARY KEY (user_id, event_id); ``` ### AggregatingMergeTree (Pre-aggreg

What's inside
Steps it walks through
  1. Overview
  2. Table Design Patterns
  3. MergeTree Engine (Most Common)
  4. ReplacingMergeTree (Deduplication)
  5. AggregatingMergeTree (Pre-aggregation)
  6. Query Optimization Patterns
  7. Efficient Filtering
  8. Aggregations
  9. Window Functions
  10. Data Insertion Patterns
  11. Bulk Insert (Recommended)
  12. Streaming Insert
  13. Materialized Views
  14. Real-time Aggregations
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About this skill
What does the cc-skill-clickhouse-io skill do?

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill cc-skill-clickhouse-io --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going